Measuring the landscape of civil war: evaluating geographic coding decisions with historic data from the Mau Mau rebellion

Rex W. Douglass, Kristen A. Harkness

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
6 Downloads (Pure)

Abstract

Subnational conflict research increasingly utilizes georeferenced event datasets to understand contentious politics and violence. Yet, how exactly locations are mapped to particular geographies, especially from unstructured text sources such as newspaper reports and archival records, remains opaque and few best practices exist for guiding researchers through the subtle but consequential decisions made during geolocation. We begin to address this gap by developing a systematic approach to georeferencing that articulates the strategies available, empirically diagnoses problems of bias created by both the data-generating process and researcher-controlled tasks, and provides new generalizable tools for simultaneously optimizing both the recovery and accuracy of coordinates. We then empirically evaluate our process and tools against new microlevel data on the Mau Mau Rebellion (Colonial Kenya 1952-1960), drawn from 20,000 pages of recently declassified British military intelligence reports. By leveraging a subset of this data that includes map codes alongside natural language location descriptions, we demonstrate how inappropriately georeferencing data can have important downstream consequences in terms of systematically biasing coefficients or altering statistical significance and how our tools can help alleviate these problems.
Original languageEnglish
Pages (from-to)190-205
Number of pages16
JournalJournal of Peace Research
Volume55
Issue number2
Early online date15 Feb 2018
DOIs
Publication statusPublished - 1 Mar 2018

Keywords

  • Archival data
  • Armed conflict
  • Event data
  • Georeferencing
  • Kenya
  • Mau Mau

Fingerprint

Dive into the research topics of 'Measuring the landscape of civil war: evaluating geographic coding decisions with historic data from the Mau Mau rebellion'. Together they form a unique fingerprint.

Cite this